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kwillets • yesterday at 6:13 PM • 1 reply • view on HN

I think it was closer to what they need; it comes down to keeping TB of data on local SSD and having a query engine next to it. That takes persistent, shared CPU, caching, sharding, resource management, etc.

Duckdb is an interesting approach to resource management (all ephemeral), but TB's are TB's. I doubt it was finding data where it needed it.

Clickhouse seems slow at getting to the top end of scaling; it's stuck with the 99% of its userbase doing 1 GB queries. I'm hoping they put some of their money into it.


Replies

a34729t • yesterday at 6:59 PM

ClickHouse is fast OLAP. Just do Iceberg with Trino like a normal big data person. WTF?

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